Science and Research Content

Springer Nature seeks early adopter institutions and funders to shape new research data services -

Springer Nature is rolling out new support services to help the research community manage and share data. Following a successful pilot offering data deposition support to Springer Nature authors, announced in April 2017 and extended to all researchers in January 2018, a wider range of research data services are now being introduced for institutions and funders.

The recent report from Digital Science, State of Open Data 2017, shows that while the proportion of researchers sharing their data has grown, efforts to archive, publish and share data continue to be hampered by time constraints and a lack of knowledge around data standards, repository options, and funder and institutional requirements.

Developed in response to these challenges, Springer Nature's Research Data Support services for institutions and funders aim to overcome many of these problems.

To support data deposit into repositories, Research Data Editors will curate and enhance metadata to improve its discoverability and encourage reuse in accordance with the Findable, Accessible, Interoperable and Reusable (FAIR) data principles. Editors will also help authors draft summaries and data availability statements to improve human readability and data linking and citation. Initially made available on Figshare, the service can be used for any scholarly research data (including code, videos, images, text, raw and processed data) whether or not they are associated with a publication.

Research Data Editors and in-house data policy experts will also offer webinars, workshops and 'train-the-trainer' resources on policy and best practice in data management, along with hands-on data curation workshops.

Working with institutions and funders, Springer Nature also aims to develop data availability statement reporting to support policy compliance and track research outputs and impact.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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